Andrés Mosquera-Zamudio

According to our database, Andrés Mosquera-Zamudio authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Detection of Helicobacter pylori Infection in Histopathological Gastric Biopsies Using Deep Learning Models.

Rafael Parra-Medina, Carlos Zambrano-Betancourt, Sergio Peña-Rojas, Lina Quintero-Ortiz, Maria Victoria Caro, Ivan Romero, Javier Hernan Gil-Gómez, John Jaime Sprockel, Sandra Cancino Suárez, Andrés Mosquera-Zamudio

J. Imaging, 2025

Deep-Learning Approaches for Cervical Cytology Nuclei Segmentation in Whole Slide Images.

Andrés Mosquera-Zamudio, Sandra Cancino Suárez, Guillermo Cárdenas-Montoya, Juan D. García-Arteaga, Carlos Zambrano-Betancourt, Rafael Parra-Medina

J. Imaging, 2025

Distilling Epigenetics: Adaptive Regression Uncovers Spitzoid Tumor Biomarkers.

Ilán Carretero, Rocío del Amor, Germán Casabó-Vallés, Silvia Perez-Deben, Andrés Mosquera-Zamudio, Eva García, Carlos Monteagudo, Valery Naranjo

Proceedings of the 33rd European Signal Processing Conference, 2025

2024

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs.

Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan

BMC Medical Informatics Decis. Mak., December, 2024

2022

Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data.

Rocío del Amor, Francisco Javier Curieses, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis.

Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Zhiming Zhao, Valery Naranjo

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis.

Laëtitia Launet, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Valery Naranjo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI.

Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo

CoRR, 2021

An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images.

Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo

Artif. Intell. Medicine, 2021